{"id":3299761,"url":"https://alion.io/job/epam-systems-lead-snowflake-data-engineer","title":"Lead Snowflake Data Engineer","company":{"id":92,"name":"EPAM Systems","domain":"epam.com","url":"https://alion.io/company/epam-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"D","score":49,"open_postings":65,"ghost_share":0.8,"stale_share":0,"repost_share":0.169,"time_to_fill_p50_days":31,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":57000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Cortex","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-10-26T22:01:50Z","employer_posted_date":null,"last_verified_at":"2026-10-26T22:01:50Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"We are seeking an experienced Lead Snowflake Data Engineer to join our data engineering team. The ideal candidate will be responsible for designing, developing and maintaining scalable data solutions using Snowflake's cloud data platform. This role requires expertise in modern data engineering practices, cloud technologies and AI/ML integration within the Snowflake ecosystem.\n\nResponsibilities\n\nDesign and implement robust data pipelines using Snowflake's native capabilities\nDevelop and optimize complex queries using Snow SQL and Snow PLSQL\nBuild scalable data applications with the Snowpark framework and Python\nDeploy and manage Snowflake environments across AWS and Azure cloud platforms\nIntegrate Snowflake with various cloud services, data sources and governance frameworks\nOptimize cloud resource utilization and cost management\nMaintain data workflows using Apache Airflow and DBT for transformation pipelines\nEnsure data quality, reliability and performance across all pipelines\nMonitor and troubleshoot data pipeline issues\nLeverage Snowflake Cortex AI for advanced analytics and machine learning use cases\nCollaborate with data scientists to productionize ML models within Snowflake\n\nRequirements\n\n8 to 15 years of experience in data engineering with a focus on cloud-based data platforms\n4+ years of hands-on expertise in Snowflake including Snow SQL, Snow PLSQL and Snowpark\nProficiency in advanced Python programming for data engineering\nSkills in AWS and/or Azure cloud services\nExperience with Apache Airflow and DBT for workflow orchestration and data modeling\nFamiliarity with Snowflake Cortex AI's native AI and ML capabilities","description_format":"text","description_chars":1650,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software 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